Zhengguang Shen

Beijing Automation Control Equipment Institute

Papers

Total Citations

H-Index

About

Zhengguang Shen is a researcher whose work bridges the fields of wireless sensor networks, robotics, and acoustic signal processing. His most-cited paper, "Design and Implementation of Sound Searching Robots in Wireless Sensor Networks" (2016, 14 citations), presents an innovative system that integrates a four-channel microphone array for sound collection with a magneto-resistive sensor for declination measurement, all coordinated through a wireless sensor network (WSN). This system features embedded sound signal enhancement, recognition, and localization capabilities, enabling autonomous robots to search for and track sound sources in complex environments. Shen’s contributions lie in the practical fusion of sensor technologies and robotic mobility, addressing real-world challenges in surveillance, search-and-rescue, and environmental monitoring. His work demonstrates a commitment to developing intelligent, networked systems that can perceive and respond to auditory cues, a niche yet impactful area within the broader field of cyber-physical systems. With a focus on hardware-software co-design and real-time signal processing, Shen’s research offers valuable insights for students and engineers interested in the intersection of robotics, acoustics, and distributed sensing.